Apple: macOS Software Engineer, Natural Language Processing

Seeking a Software Engineer to join the natural language processing team that drives on-device text intelligence at Apple, and work on NLP technologies that power autocorrection, predictive typing, Spotlight search, emoji prediction, and smart responses.

Join the natural language processing team that drives on-device text intelligence at Apple. Work on NLP technologies that power autocorrection, predictive typing, Spotlight search, emoji prediction, and smart responses. Our team also provides fundamental text processing (language identification, tokenization, tagging, etc.) functionalities for a slew of first party applications on Apple platforms as well as third-party developers. We are looking for an experienced software engineer with proficiency in Cocoa and development experience on macOS platform to drive and improve the typing experience and text-based intelligence.

Join the Natural Language Processing that is responsible for on-device text processing across all Apple platforms. As a member of the team you will work on the intersection of software engineering, natural language processing and machine learning. The position requires strong software engineering experience and will provide opportunities to interact and learn with subject matter experts in NLP and machine learning. We are specifically interested in someone that can improve the overall typing experience and text-based intelligence on macOS. This involves an extremely good grasp of system design, software architecture as well as fluency in Cocoa, Swift and Objective-C. NLP and machine learning experience is a plus.

MSc or PhD in Computer Science, Computational Linguistics or equivalent

Additional Requirements:

Experience with natural language processing (NLP) is a plus

Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.